code: def test_identity_parameters():
      for transform in regtransforms.values():
          dim = transform.get_dim()
          theta = transform.get_identity_parameters()
  
          expected = np.eye(dim + 1)
          actual = transform.param_to_matrix(theta)
          assert_array_almost_equal(actual, expected)
  
file_path: dipy/dipy/align/tests/test_transforms.py
imports: import numpy
  from numpy.testing import assert_array_equal, assert_array_almost_equal, assert_equal, assert_raises
  from dipy.align.transforms import regtransforms, Transform
  from dipy.testing.decorators import set_random_number_generator
label_desc: Use image node_id 4 for calling a global function with example usage: test_identity_parameters() without return types